Papers
2
Total Citations
36
H-Index
2
About
Erhong Lu’s research lies at the intersection of intelligent robotics, sensor fusion, and advanced control systems, with a particular focus on autonomous navigation and precision manufacturing. In his most cited work, "Dynamic Collision Avoidance Path Planning for Mobile Robot Based on Multi-sensor Data Fusion by Support Vector Machine" (2007, 30 citations), Lu pioneered the application of statistical learning theory to mobile robot motion planning. By integrating multi-sensor data with support vector machines (SVM), he addressed the inherent nonlinearity and complexity of dynamic collision avoidance—a foundational contribution that has influenced subsequent work in autonomous robotics. Lu further advanced industrial automation through his study "Intelligent Control System of Welding Torch’s Attitude for Pipeline Welding Robot" (2007, 6 citations), where he employed micro-mechanical gyros (ADXRS300) to achieve real-time attitude control during whole-position welding. This work demonstrates his ability to bridge theoretical machine learning with practical robotic manipulation. Though his citation counts reflect a focused, early-career impact, Lu’s integration of SVM-based learning with sensor-driven control remains a notable achievement in the evolution of intelligent robotic systems.
Research Focus
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Top Papers
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